Datasets › IDD
IDD (Indian Driving Dataset)
IDD is a dataset for road scene understanding in unstructured environments used for semantic segmentation and object detection for autonomous driving. It consists of 10,004 images, finely annotated with 34 classes collected from 182 drive sequences on Indian roads.
Source: IDD: A Dataset for Exploring Problems of Autonomous Navigation in Unconstrained Environments Image Source: Varma et al
Benchmarks archive 2025-07-28
All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Panoptic Segmentation | Indian Driving Dataset | EfficientPS PQ 51.1 | EfficientPS: Efficient Panoptic Segmentation | DeepSceneSeg/EfficientPS +1 | 4 | Compare |
Papers archive 2025-07-28
4 shown of 4 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 98. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
| Date | Samples run Syntology | |||
|---|---|---|---|---|
| EfficientPS: Efficient Panoptic Segmentation | 2 | 1 | 5 Apr 2020 | not harvested |
| Seamless Scene Segmentation | 5 | 1 | 3 May 2019 | ran 1 of 2 samples (1 unverified) |
| UPSNet: A Unified Panoptic Segmentation Network | 1 | 1 | 12 Jan 2019 | ran 3 of 3 samples (0 unverified; 3 pointer-only for licence) |
| Panoptic Feature Pyramid Networks | 12 | 1 | 8 Jan 2019 | ran 7 of 12 samples (5 unverified) |
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
Unknown
Modalities archive 2025-07-28
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- IDD
1 variant name, as the archive lists them.
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